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Simulation-based optimisation approach to multi-choice transportation problem

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dc.contributor.authorYILMAZ SOYDAN, NACİYE TUBA
dc.contributor.authorÇİLİNGİRTÜRK, AHMET METE
dc.contributor.authorsYILMAZ SOYDAN N. T. , ÇİLİNGİRTÜRK A. M.
dc.date.accessioned2022-12-26T17:04:38Z
dc.date.available2022-12-26T17:04:38Z
dc.date.issued2022-01-01
dc.description.abstractCopyright © 2022 Inderscience Enterprises Ltd.The classical transportation problem minimises the total costs of transportation of a unique product from various supply points (or warehouses) to demand points. The problem assumes that freight costs from source to destination are constant and that the supply and demand quantities are equal and strictly known, so the market for the product is well-balanced. It thus involves a special type of linear integer programming, which becomes stochastic since the constraints or parameters are random variables from a known or unknown distribution. Several studies have formulated well-known deterministic models under probabilistic restrictions. The transformed models mostly keep the confidence level at a given minimum constant or else minimise the error level. Also, there is a multi-choice stochastic transportation problem, which introduces several unit costs. In this study, we try to simulate Roy\"s (2014) multi-choice stochastic transport model with random supply and demand quantities from a given Weibull distribution and compare the results of distribution and total costs. As a result of the simulation, total cost value was estimated lower than the result of the problem.
dc.identifier.citationYILMAZ SOYDAN N. T. , ÇİLİNGİRTÜRK A. M. , "Simulation-based optimisation approach to multi-choice transportation problem", International Journal of Operational Research, cilt.45, sa.2, ss.161-170, 2022
dc.identifier.doi10.1504/ijor.2022.126077
dc.identifier.endpage170
dc.identifier.issn1745-7645
dc.identifier.issue2
dc.identifier.startpage161
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85140643317&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/284112
dc.identifier.volume45
dc.language.isoeng
dc.relation.ispartofInternational Journal of Operational Research
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectEkonometri
dc.subjectYöneylem
dc.subjectSocial Sciences and Humanities
dc.subjectEconometrics
dc.subjectOperational Research
dc.subjectSosyal Bilimler (SOC)
dc.subjectEkonomi ve İş
dc.subjectOPERASYON ARAŞTIRMA VE YÖNETİM BİLİMİ
dc.subjectSocial Sciences (SOC)
dc.subjectECONOMICS & BUSINESS
dc.subjectOPERATIONS RESEARCH & MANAGEMENT SCIENCE
dc.subjectYönetim Bilimi ve Yöneylem Araştırması
dc.subjectSosyal Bilimler ve Beşeri Bilimler
dc.subjectManagement Science and Operations Research
dc.subjectSocial Sciences & Humanities
dc.subjectmulti-choice transportation problem
dc.subjectsimulation
dc.subjectsimulation-based optimisation
dc.subjectWeibull distribution
dc.titleSimulation-based optimisation approach to multi-choice transportation problem
dc.typearticle
dspace.entity.typePublication
local.avesis.idc1b6335d-bad7-4871-a282-a88af2b5446f
local.indexed.atSCOPUS
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relation.isAuthorOfPublicationc21fc7b7-80e0-4702-a115-82708753f128
relation.isAuthorOfPublication.latestForDiscovery4a169eca-9b76-4fd5-863d-62b5fd17b23f

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